SEMANTIC NOTE TAKING SYSTEM

• US 20140091139A1
• Filed: 12/06/2013
• Published: 04/03/2014
• Est. Priority Date: 01/27/2009
• Status: Active Grant

• Current Assignee: Andreas Schobel, Stephen J Brown
• Original Assignee: Andreas Schobel, Stephen J Brown
• Inventors: Brown, Stephen J., Schobel, Andreas
• Granted Patent: US 9,251,297 B2
• Time in Patent Office: Days
• US Class Current: 235/375
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A semantic note taking system and method for collecting information, enriching the information, and/or binding the information to services is provided. User-created notes are enriched with labels, context traits, and relevant data to minimize friction in the note-taking process. In other words, the present invention is directed to collecting unscripted data, adding more meaning and use out of the data, and binding the data to services. Mutable and late-binding to services is also provided to allow private thoughts to be published to a myriad of different applications and services in a manner compatible with how thoughts are processed in the brain. User interfaces and semantic skins are also provided to derive meaning out of notes without requiring a great deal of user input. Linking physical objects to notes are also provided, such as through QR codes.

Claims

1. A method comprising:

receiving, by a device, a comment to a note that is accessible to a plurality of users;

associating a contextual trait with the note, wherein the contextual trait is associated with the mobile device;

labelling the note with a category based on the comment;

receiving wireless data from an object located within a proximity threshold of the mobile device; and

linking the object with the note based on the wireless data.

2. The method of claim 1, wherein the note comprises at least one of text, audio media, visual media, audio-visual media, recorded data, a weblink, or a pointer to an information source.

3. The method of claim 1, wherein the comment is included in a plurality of comments organized chronologically.

4. The method of claim 1, further comprising:

selecting the category based on the contextual trait.

5. A system comprising:

a processor;

a computer-readable storage medium having stored therein instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving, by a device, a comment to a note that is accessible to a plurality of users;

associating a contextual trait with the note, wherein the contextual trait is associated with the mobile device;

labelling the note with a category based on the comment;

receiving wireless data from an object located within a proximity threshold of the mobile device; and

linking the object with the note based on the wireless data.

6. The system of claim 5, wherein the note comprises at least one of text, audio media, visual media, audio-visual media, recorded data, a weblink, or a pointer to an information source.

7. The system of claim 5, wherein the comment is included in a plurality of comments organized chronologically.

8. The system of claim 5, the instructions, when executed by the processor, causing the processor to perform operations further comprising:

selecting the category based on the contextual trait.

9. A non-transitory computer-readable storage medium having instructions for causing a mobile device to perform operations comprising:

receiving, by a device, a comment to a note that is accessible to a plurality of users;

associating a contextual trait with the note, wherein the contextual trait is associated with the mobile device;

labelling the note with a category based on the comment;

receiving wireless data from an object located within a proximity threshold of the mobile device; and

linking the object with the note based on the wireless data.

10. The non-transitory computer-readable storage medium of claim 9, wherein the note comprises at least one of text, audio media, visual media, audio-visual media, recorded data, a weblink, or a pointer to an information source.

11. The non-transitory computer-readable storage medium of claim 9, wherein the comment is included in a plurality of comments organized chronologically.

12. The non-transitory computer-readable storage medium of claim 9, the operations further comprising:

selecting the category based on the contextual trait.